1st International ICST Workshop on New Computational Methods for Inverse Problems

Research Article

Searchlight CT: A new reconstruction method for collimated X-ray tomography

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/icst.valuetools.2011.245816,
    author={Robert  Azencott  and Anando  Sen  and Bernhard G.  Bodmann and King C.  Li and Demetrio  Labate and Xiaobo  Zhou},
    title={Searchlight CT: A new reconstruction method for collimated X-ray tomography},
    proceedings={1st International ICST Workshop on New Computational Methods for Inverse Problems},
    publisher={ACM},
    proceedings_a={NCMIP},
    year={2012},
    month={6},
    keywords={ACM proceedings X-ray Transform Radon Transform Tomography Local Reconstruction},
    doi={10.4108/icst.valuetools.2011.245816}
}
  • Robert Azencott
    Anando Sen
    Bernhard G. Bodmann
    King C. Li
    Demetrio Labate
    Xiaobo Zhou
    Year: 2012
    Searchlight CT: A new reconstruction method for collimated X-ray tomography
    NCMIP
    ICST
    DOI: 10.4108/icst.valuetools.2011.245816
Robert Azencott 1,*, Anando Sen 1, Bernhard G. Bodmann1, King C. Li2, Demetrio Labate3, Xiaobo Zhou2
  • 1: 608 PGH, University of Houston 4800 Calhoun Road Houston, Texas 77204
  • 2: The Methodist Hospital Research Institute 6565 Fannin Street Houston, Texas 77030
  • 3: 694 PGH, University of Houston 4800 Calhoun Road Houston, Texas 77204
*Contact email: razencot@math.uh.edu

Abstract

The method presented in this paper aims to reduce the overall radiation exposure from X-ray CT scans when only the reconstruction of a region of interest is required. To achieve this goal, the Searchlight CT algorithm restricts the acquisition to X-rays passing mainly through the region of interest. The algorithm uses an iteration of the X-ray transform and of a regularized inverse, which converges rapidly and for which generic conditions of converges are provided. The performance of the Searchlight CT algorithm is illustrated on both phantom and experimental data.

Keywords
ACM proceedings X-ray Transform Radon Transform Tomography Local Reconstruction
Published
2012-06-26
Publisher
ACM
http://dx.doi.org/10.4108/icst.valuetools.2011.245816
Copyright © 2011–2022 ICST